{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorflow\\python\\framework\\dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorboard\\compat\\tensorflow_stub\\dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorboard\\compat\\tensorflow_stub\\dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorboard\\compat\\tensorflow_stub\\dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorboard\\compat\\tensorflow_stub\\dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorboard\\compat\\tensorflow_stub\\dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorboard\\compat\\tensorflow_stub\\dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "test_feature_index = pd.read_csv('./data/test_index.csv', index_col=[0])\n",
    "test_feature_value = pd.read_csv('./data/test_value.csv', index_col=[0])\n",
    "label = pd.read_csv('./data/label.csv', index_col=[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From C:\\Users\\S\\AppData\\Local\\Temp/ipykernel_14344/2897788160.py:1: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
      "\n",
      "WARNING:tensorflow:From C:\\Users\\S\\AppData\\Local\\Temp/ipykernel_14344/2897788160.py:2: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead.\n",
      "\n",
      "WARNING:tensorflow:From C:\\Users\\S\\AppData\\Local\\Temp/ipykernel_14344/2897788160.py:5: The name tf.train.import_meta_graph is deprecated. Please use tf.compat.v1.train.import_meta_graph instead.\n",
      "\n",
      "WARNING:tensorflow:From D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\tensorflow\\python\\training\\saver.py:1276: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use standard file APIs to check for files with this prefix.\n",
      "INFO:tensorflow:Restoring parameters from ./model_/my_test_model\n",
      "WARNING:tensorflow:From C:\\Users\\S\\AppData\\Local\\Temp/ipykernel_14344/2897788160.py:9: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "sess = tf.Session()\n",
    "init = tf.global_variables_initializer()\n",
    "sess.run(init)\n",
    "\n",
    "saver = tf.train.import_meta_graph('./model_/my_test_model.meta')\n",
    "\n",
    "saver.restore(sess, tf.train.latest_checkpoint('./model_/'))\n",
    "\n",
    "graph = tf.get_default_graph()\n",
    "\n",
    "feat_index = graph.get_tensor_by_name(\"feat_index:0\") #特征索引\n",
    "feat_value = graph.get_tensor_by_name(\"feat_value:0\") #特征值\n",
    "out = graph.get_tensor_by_name(\"out:0\") #输出\n",
    "feed_dict={feat_index:test_feature_index,feat_value:test_feature_value}\n",
    "\n",
    "# test_feature_index = test_feature_index[16:144]\n",
    "# test_feature_value = test_feature_value[16:144]\n",
    "# label = label[16:144]\n",
    "\n",
    "# test_feature_index = pd.concat([test_feature_index, test_feature_index,test_feature_index,test_feature_index,test_feature_index, test_feature_index,test_feature_index,test_feature_index])\n",
    "# test_feature_value = pd.concat([test_feature_value, test_feature_value,test_feature_value,test_feature_value,test_feature_value, test_feature_value,test_feature_value,test_feature_value])\n",
    "# label = pd.concat([label, label,label,label,label, label,label,label])\n",
    "\n",
    "#feed_dict2={feat_index:test_feature_index[0:1024],feat_value:test_feature_value[0:1024]}\n",
    "feed_dict2={feat_index:test_feature_index,feat_value:test_feature_value}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# metric_gf\n",
    "def metric_gf(fact_res, pre_res):\n",
    "    from sklearn import metrics\n",
    "    MSE = metrics.mean_squared_error(fact_res,pre_res)\n",
    "    RMSE = metrics.mean_squared_error(fact_res,pre_res)**0.5\n",
    "    MAE = metrics.mean_absolute_error(fact_res,pre_res)\n",
    "    mape_ =[]\n",
    "    c=0\n",
    "    for x,y in zip(fact_res,pre_res):\n",
    "        if x>0.5:\n",
    "            mape_.append(abs((x-y)/x))\n",
    "            c += 1\n",
    "    MAPE = np.array(mape_).sum()/c\n",
    "    return {'RMSE':RMSE,'MAPE':MAPE,'MAE':MAE,'MSE':MSE }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pre = sess.run(out,feed_dict2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "pre_res = []\n",
    "for _,i in enumerate(pre):\n",
    "    if i < 0:\n",
    "        pre_res.append(0)\n",
    "    else:\n",
    "        pre_res.append(i) \n",
    "fact_res = label['fdgl'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "kjxgx = np.loadtxt('./data/y_pred.txt').reshape(1,-1).tolist()[0]\n",
    "kjxgx_sum = np.loadtxt('./data/y_pred_sum.txt').reshape(1,-1).tolist()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# np.savetxt('./word_data//2_fact.csv',np.array(fact_res[64:]))\n",
    "\n",
    "# np.savetxt('./word_data//2_pre.csv',np.array(pre_res[64:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\numpy\\core\\shape_base.py:65: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
      "  ary = asanyarray(ary)\n",
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\IPython\\core\\pylabtools.py:151: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "id = [i for i in range(len(pre))]\n",
    "plt.figure(figsize=(8,5))\n",
    "plt.plot(id, fact_res, color='black',linewidth=2,label = '实际功率值')#线1\n",
    "#plt.plot(id, kjxgx,color='green',linewidth=2,linestyle = '--',label = \"基于空间相关性\")#线2\n",
    "plt.plot(id, pre_res,color='red',linewidth=2,linestyle = '--',label = 'DeepFm&LSTM预测')#线2\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.legend(fontsize   = 15)\n",
    "plt.xlabel(\"时间采样点/小时\",fontsize   = 20)\n",
    "plt.ylabel(\"光伏发电功率/kW\",fontsize   = 20)\n",
    "plt.ylim(-1,6)\n",
    "plt.title('区域内的多个分布式电站',fontsize   = 20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x21a075f3808>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10), dpi=80)\n",
    "plt.figure(1)\n",
    "id = [i for i in range(16)]\n",
    "ax1 = plt.subplot(221)\n",
    "ax1.set_title('分布式电站-1')\n",
    "ax1.plot(id, fact_res[64:80], label='实际功率', color='black',linewidth=1)#线1\n",
    "ax1.plot(id, pre_res[64:80], label='预测值 ', color='green',linestyle = '--',linewidth=1)#线1\n",
    "plt.xlabel(\"时间采样点/小时\",fontsize   = 15)\n",
    "plt.ylabel(\"光伏发电功率/kW\",fontsize   = 15)\n",
    "plt.legend(fontsize   = 10)\n",
    "\n",
    "ax2 = plt.subplot(222)\n",
    "ax2.set_title('分布式电站-2')\n",
    "ax2.plot(id, fact_res[96:112], label='实际功率', color='black',linewidth=1)#线1\n",
    "ax2.plot(id, pre_res[96:112], label='预测值', color='green',linestyle = '--',linewidth=1)#线1\n",
    "plt.xlabel(\"时间采样点/小时\",fontsize   = 15)\n",
    "plt.ylabel(\"光伏发电功率/kW\",fontsize   = 15)\n",
    "plt.legend(fontsize   = 10)\n",
    "\n",
    "ax3 = plt.subplot(223)\n",
    "ax3.set_title('分布式电站-3')\n",
    "ax3.plot(id, fact_res[112:128], label='实际功率', color='black',linewidth=1)#线1\n",
    "ax3.plot(id, pre_res[112:128], label='预测值', color='green',linestyle = '--',linewidth=1)#线1\n",
    "plt.xlabel(\"时间采样点/小时\",fontsize   = 15)\n",
    "plt.ylabel(\"光伏发电功率/kW\",fontsize   = 15)\n",
    "plt.legend(fontsize   = 10)\n",
    "\n",
    "ax4 = plt.subplot(224)\n",
    "ax4.set_title('分布式电站-4')\n",
    "ax4.plot(id, fact_res[128:144], label='实际功率', color='black',linewidth=1)#线1\n",
    "ax4.plot(id, pre_res[128:144], label='预测值', color='green',linestyle = '--',linewidth=1)#线1\n",
    "plt.xlabel(\"时间采样点/小时\",fontsize   = 15)\n",
    "plt.ylabel(\"光伏发电功率/kW\",fontsize   = 15)\n",
    "plt.legend(fontsize   = 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "metric_gf(fact_res[128:], pre_res[128:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'RMSE': 0.16133003347386882,\n",
       " 'MAPE': 0.15532863476214293,\n",
       " 'MAE': 0.12190430883020147,\n",
       " 'MSE': 0.02602737970067963}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metric_gf(fact_res[128:],kjxgx[64:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "144"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(fact_res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\evo\\anaconda\\envs\\tf1.14\\lib\\site-packages\\ipykernel_launcher.py:2: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "fact_sum = np.array(fact_res[64:]).reshape(5,16).sum(axis = 0)\n",
    "pre_sum = np.array(pre_res[64:]).reshape(5,16).sum(axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# np.savetxt('./word_data//4_fact.csv',np.array(fact_sum))\n",
    "\n",
    "# np.savetxt('./word_data//4_pre.csv',np.array(pre_sum))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "id = [i for i in range(16)]\n",
    "plt.figure(figsize=(8,7))\n",
    "plt.plot(id, fact_sum, color='black',linewidth=3,label = '实际功率值')#线1\n",
    "plt.plot(id, kjxgx_sum,color='green',linewidth=4,linestyle = ':',label = \"基于空间相关性\")#线2\n",
    "plt.plot(id, pre_sum,color='red',linewidth=4,linestyle = ':',label = 'DeepFm&LSTM')#线2\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.legend(fontsize   = 15)\n",
    "plt.xlabel(\"时间采样点/小时\",fontsize   = 20)\n",
    "plt.ylabel(\"光伏发电功率/kW\",fontsize   = 20)\n",
    "plt.ylim(-1,15)\n",
    "plt.xlim(0,15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 区域误差"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'RMSE': 0.14310730480292563,\n",
       " 'MAPE': 0.052032369375228885,\n",
       " 'MAE': 0.11173063502791059,\n",
       " 'MSE': 0.020479700687957465}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#DeepFm&LSTM\n",
    "metric_gf(fact_sum,pre_sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'RMSE': 0.5827783332879766,\n",
       " 'MAPE': 0.1625142396862501,\n",
       " 'MAE': 0.3812047432674777,\n",
       " 'MSE': 0.3396305857499119}"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#基于空间相关性\n",
    "metric_gf(fact_sum,kjxgx_sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sess.close()"
   ]
  }
 ],
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